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A method of interpolating missing eddy flux observation data on the ground using the alpha invariant method

A technology of observation data and flux, which is applied in the fields of electrical digital data processing, digital data information retrieval, special data processing applications, etc., can solve the problems of lack of surface flux observation data, etc., and achieve reliable results, simple methods, and reliable results. highly operable effect

Active Publication Date: 2021-12-14
INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS +1
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Problems solved by technology

In actual observation, the lack of surface flux observation data due to meteorological reasons, instrument and system failures, and data quality control is common. Therefore, it is necessary to develop a reliable interpolation of ground-missing eddy flux observation The data method is of great significance for quickly and accurately obtaining the continuous change process of the eddy flux at the site and small regional scale

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  • A method of interpolating missing eddy flux observation data on the ground using the alpha invariant method
  • A method of interpolating missing eddy flux observation data on the ground using the alpha invariant method
  • A method of interpolating missing eddy flux observation data on the ground using the alpha invariant method

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Embodiment

[0063] A method for interpolating ground-missing eddy flux observation data using the ALPHA invariant method, comprising the following steps:

[0064] S1: constructing the input data set required by the method;

[0065] The S1 specifically includes:

[0066] Preliminary construction of the input data set using the ALPHA invariant method to interpolate the missing eddy flux observation data on the ground, acquisition of relevant data, and data preprocessing of the acquired flux data. That is, first obtain the eddy correlation and energy balance flux observation data and meteorological observation data at half-hour time intervals, including the latent heat flux observation data, denoted as LE i ; Sensible heat flux observation data, denoted as H i ;Soil heat flux observation data, denoted as G i ; Net radiation data, denoted as Rn i ; and meteorological observation data.

[0067] S2: For the target time period in which the eddy flux observation data is partially missing, ca...

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Abstract

The invention belongs to the technical field of surface flux observation data processing, and relates to a method for interpolating missing eddy flux observation data on the ground using an ALPHA invariant method. The method of the present invention includes: constructing the input data set required by the method; aiming at the target time period in which the eddy flux observation data is partially missing, calculating the latent heat flux, soil heat flux and The average value of net radiation; based on the Priestley-Taylor equation, according to the above average value, the average ALPHA value of the corresponding time period without missing time is obtained; based on the characteristic that ALPHA remains constant, the average ALPHA value is used as the ALPHA value at the time of data loss, according to The above equation and the surface energy balance equation interpolate the flux at the time when the ground eddy flux observation data is missing. It is of great significance for the rapid and accurate estimation and verification of latent heat flux and sensible heat flux by means of remote sensing.

Description

technical field [0001] The invention belongs to the technical field of surface flux observation data processing, and in particular relates to a method for interpolating missing eddy flux observation data on the ground using an ALPHA invariant method. Background technique [0002] Flux observation research based on eddy correlation technology is currently the most direct technique for quantitative determination of surface energy balance and energy flux. Flux observation data are extremely important measured data in the study of surface energy balance and water cycle on regional and global scales. However, due to the limitations of flux observation technology and environmental conditions, before the release of flux observation data, a series of processing must be performed on the flux observation data measured at the site to control the data quality, including WPL correction, coordinate axis A series of processes such as rotation and outlier removal. At the same time, due to...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/2458G01D21/02
CPCG01D21/02
Inventor 唐荣林刘萌李召良姜亚珍王桐邸苏闯
Owner INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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